How to fix “Error: NAMESPACE_ERR: DOM Exception 14″ in Chrome
The only references I’ve found online are to an old bug in Chrome. Error: NAMESPACE_ERR: DOM Exception 14 I generated this with the following xpath expression generated by Firebug:...
View ArticleAdding Adzerk Units to Blogspot blogs
This applies to adding any html/js widget to blogspot, but in this case, we’re adding adzerk. Select “Layout” on the left hand side of blogger. Click images to enlarge.Select to add a new...
View ArticleExtJS TreePanel Example
ProblemYou want to display a file manager style tree grid.SolutionUse the Ext.chart.Chart, and set several properties under the “series” property to render a pie chart. DiscussionThe official ExtJS...
View ArticleGenerating ARFF files for Weka from Postgres
Since all my scraped data is in Postgres, this is the easiest way to get it out – the fastest iteration possible. At some point I’ll probably switch to a Java library. It’s interesting to see, but...
View ArticleCobol v. Fortran
I thought it’d be interesting to compare how many people admit to knowing ancient programming languages on their LinkedIn pages. This is in a contrast to my post on the popularity of hip JVM languages...
View ArticleSummary of Weekly R News
Reading Interesting discussion on career paths and current buzzwords Statisticians Contemplate Their Own Extinction Multi-Armed Bandit Simulation Spare Matrices Statistics An interesting look at a...
View ArticleFixing Solr error “no segments* file found in NRTCachingDirectory”
If you try to run a Solr DataImportHandler by running HTTP commands (e.g. from a build script), you may hit an error like this: "no segments* file found in NRTCachingDirectory" It appears that this...
View ArticleDecision Tree Testing Lessons
I’m running some tests on sklearn decision trees, and the lessons learned so far may be interesting. I’ve put my measurement code at the end – I’m tracking % correct, number of tests that are positive,...
View ArticleRethinkDB cursor to array in python
The following code will retrieve query results as an array: r.connect("localhost", 28015).repl() db = r.db("search") table = db.table("industries") cursor = table.filter(lambda x: x['search_query'] ==...
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